文章基本信息

标题：Keystroke Authentication on Enhanced Needleman Alignment Algorithm
本地全文：下载
作者：Seham Bamatraf ; Mohamed Bamatraf ; Osman Hegazy 等
期刊名称：Intelligent Information Management
印刷版ISSN：2150-8194
电子版ISSN：2150-8208
出版年度：2014
卷号：06
期号：04
页码：211-221
DOI：10.4236/iim.2014.64021
语种：English
出版社：Scientific Research Publishing
摘要：An important point for computer systems is the identification of users for authentication. One of these identification methods is keystroke dynamics. The keystroke dynamics is a biometric measurement in terms of keystroke press duration and keystroke latency. However, several problems are arisen like the similarity between users and identification accuracy. In this paper, we propose innovative model that can help to solve the problem of similar user by classifying user’s data based on a membership function. Next, we employ sequence alignment as a way of pattern discovery from the user’s typing behaviour. Experiments were conducted to evaluate accuracy of the proposed model. The results show high performance compared to standard classifiers in terms of accuracy and precision.
关键词：Keystroke Dynamics; Authentication; Fuzzy Logic; Sequence Alignment; Classification